apify-scraping

To automate web scraping with Apify Actors, you start synchronous or asynchronous runs using Actor identifiers and run inputs. You then poll the asynchronous run lifecycle until completion and fetch the resulting structured dataset items for analysis.

Synchronous Apify Actor runs support execution for immediate results up to a maximum of 300 seconds. For long-running web scraping tasks, you should use asynchronous runs with polling to monitor the lifecycle and retrieve datasets.

Yes, you can create schedules for recurring web scraping tasks and configure webhooks for run notifications. This allows you to automate Actor execution and receive updates without manually monitoring the Apify console or making API calls.

You can manage key-value stores by reading and writing records directly. To debug failed web scraping runs, you list runs, inspect run details and logs, abort the failed execution, or resurrect the run to recover and ensure reliable data collection.

Yes, Apify Actors can scrape paginated product pages by providing an appropriate input schema. After polling the run until completion, you retrieve and export the structured dataset items for downstream analysis.

You need specific Actor or task identifiers and properly formatted run inputs to start scraping. This Skill handles the Apify platform operations, allowing you to start runs, monitor execution, and collect structured dataset items without manual API calls.